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Related Concept Videos

Qualitative Analysis01:10

Qualitative Analysis

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Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
There are two main approaches to qualitative analysis:...
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For solutions containing mixtures of different cations, the identity of each cation can be determined by qualitative analysis. This technique involves a series of selective precipitations with different chemical reagents, each reaction producing a characteristic precipitate for a specific group of cations. Metal ions within a group are further separated by varying the pH, heating the mixture to redissolve a precipitate, or adding other reagents to form complex ions.
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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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Inductive Reasoning00:59

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Inductive reasoning is a form of logical thinking that uses related observations to arrive at a general conclusion. It is uncertain and operates in degrees to which the conclusions are credible. As such, inductive arguments can be weak or strong, rather than valid or invalid, and conclusions can be used to formulate testable, falsifiable hypotheses.
Inductive reasoning is common in descriptive science. A life scientist makes observations and records them. This data can be qualitative or...
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Systematic Sampling Method01:17

Systematic Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
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Ordinal Level of Measurement00:55

Ordinal Level of Measurement

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The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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Updated: Mar 26, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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Iterative categorization (IC): a systematic technique for analysing qualitative data.

Joanne Neale1,2

  • 1Reader in Qualitative and Mixed Methods Research, National Addiction Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.

Addiction (Abingdon, England)
|January 26, 2016
PubMed
Summary
This summary is machine-generated.

This study introduces iterative categorization (IC), a clear and rigorous method for analyzing qualitative addiction research data. IC simplifies the complex coding-to-publication process, requiring only basic word processing software.

Keywords:
Codinginductive analysisiterative categorizationqualitative data analysisqualitative researchresearch methods

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Area of Science:

  • Addiction Science
  • Qualitative Research Methodology

Background:

  • Qualitative data analysis in addiction research often lacks clear explanations, especially between coding and publication.
  • This ambiguity can hinder the rigor and transparency of research findings.

Purpose of the Study:

  • To describe a simple, rigorous, and transparent technique for analyzing qualitative textual data in addiction science.
  • To provide a method suitable for various coding types and analytical approaches.

Main Methods:

  • The study details the iterative categorization (IC) technique for qualitative data analysis.
  • IC is designed for use with both inductive and deductive codes.
  • The method requires only standard word processing software after initial coding.

Main Results:

  • Iterative categorization (IC) offers a structured approach to bridge the gap between coding and publication in qualitative addiction research.
  • The technique is versatile, supporting multiple common analytical approaches like thematic analysis, content analysis, and discourse analysis.
  • Worked examples are provided to illustrate the application of IC.

Conclusions:

  • Iterative categorization (IC) provides a practical and effective solution for enhancing the transparency and rigor of qualitative data analysis in addiction research.
  • The method's simplicity and minimal software requirements make it accessible to researchers across the field.